Software Engineer – Modular Infrastructure & AI Specialist

Software Engineer – Modular Infrastructure & AI Specialist

Type: Full Time position, but starting part time

About the Role

We’re seeking a highly experienced Software Engineer who thrives at the intersection of advanced web technologies and cutting-edge AI systems. This role is ideal for someone who is both a JavaScript ecosystem expert and an AI engineering — able to design robust architectures that support modern applications and intelligent automation.

You’ll be joining a team that values clear thinking, technical excellence, and intellectual curiosity. We move fast, think deeply, and build systems designed to last.

What You’ll Do

• Architect and evolve a scalable, modular infrastructure from the ground up
• Build and maintain clean, well-documented public APIs (GraphQL/REST)
• Develop flexible data layers using tools like Prisma or equivalent ORMs
• Design and integrate systems for AI agents, including local and external LLMs
• Implement privacy-conscious, secure AI workflows
• Drive best practices in code quality, CI/CD, testing, and observability
• Collaborate closely with product and engineering teams to define AI-native infrastructure

You’re a Great Fit If You Have:

Deep JavaScript & Web Stack Expertise

• Advanced experience with JavaScript frameworks (Node.js, React, Next.js)
• Familiarity with GraphQL (Apollo, Hasura) and RESTful API development
• Knowledge of modular architecture, monorepos, and clean service boundaries
• Experience with containerization (Docker) and modern DevOps practices

Advanced AI Engineering Proficiency

• Hands-on experience working with LLMs (OpenAI, Claude, Mistral, local models)
• Familiarity with frameworks like LangChain, AutoGen, and agentic design patterns
• Knowledge of context engineering, fine-tuning, vector search, embeddings
• Understanding of AI data privacy, model hosting, and local inference setups
• Experience building infrastructure to support AI agents and autonomous workflows

Bonus Points For Experience With:

• Event-driven systems (Kafka, NATS, webhooks)
• Content versioning, change-tracking, and audit trails
• Observability and logging tools (e.g., Sentry, Datadog, Prometheus)
• Systems in edtech, CRM, or academic grading environments

What We Value:

• Clear and rigorous thinking
• Ownership mindset and accountability
• Curiosity about new technologies and their implications
• Collaborative spirit with strong communication skills
• Commitment to building systems that are understandable, testable, and scalable

How to Apply:

• Send us your resume along with any relevant links (LinkedIn, GitHub, portfolio, etc.). Let us know how your experience aligns with what we’re looking for.